Man pages for insilico/privateEC
Privacy Preserving Evaporative Cooling Feature Selection and Classification with Relief-F and Random Forests
| compileAndSaveAllResults | Compile the results of a simulation + classifier methods run |
| convert.pec.sim.to.inbix | convert.pec.sim.to.inbix |
| createInteractions | Create a differentially coexpressed data set with... |
| createMainEffects | Create a simulated data set with main effects |
| createMixedSimulation | Create a data simulation with a mix of main and interaction... |
| createSimulation | Create a data simulation and return train/holdout/validation... |
| epistasisRank | Compute and return epistasis rank scores |
| getImportanceScores | Compute and return importance scores (Relief-F scores) |
| originalThresholdout | Original Thresholdout algorithm |
| paperRealWorkflow | Runs the four comparison algorithms on the passed correlation... |
| paperSimWorkflow | Workflow for running one simulation of the Bioinformatics... |
| plotRunResults | Plot the results of a privateEC workflow for a quick... |
| privateEC | Private Evaporative Cooling feature selection and... |
| privateEC-package | Welcome to privateEC |
| privateRF | Private random forests algorithm |
| rsfMRIcorrMDD | An MRI data set used used in the paper referenced below. |
| splitDataset | Split a data set for machine learning classification |
| standardRF | Standard random forests algorithm serves as a baseline model |
| xgboostRF | xgboost random forests algorithm |
